Taught course

Computational Finance

Institution
King's College London · Department of Informatics
Qualifications
MSc

Entry requirements

Please see course page:Computational Finance MSc | King's College London

Months of entry

September

Course content

Our Computational Finance MSc will equip you with the essential computational methods used in today’s financial institutions. The course provides a solid foundation in traditional quantitative methods and financial instruments, alongside advanced topics in scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics, and agent-based modelling. You’ll graduate with essential skills to pursue roles in trading, research, regulation and risk management.

Designed for students or professionals with a computer science or quantitative background, you will gain practical, hands-on experience in analysing financial data, leveraging modern developments in AI and Big Data technology. You’ll also have the unique opportunity to learn the practical aspects of quantitative finance and FinTech directly from industry experts, with our campus based next to one of the world’s major financial centres.

Key benefits

  • 6th in the UK for Computer Science (QS World Rankings 2025).
  • Flexible choice of innovative modules, including the option to take modules from the Mathematical Finance with Data Science MSc in the Department of Mathematics.
  • Possibility to gain real work experience as part of your degree, working with companies such as IBM, Terranova Software and Aerogility to design solutions for current industry needs, boosting your employability and expanding your networks.
  • Interact with King’s world class academics in computational finance including joining events, seminars and conferences with international expert speakers through the Department’s Finance Hub.
  • 6th in the UK for producing the most employable graduates (Times Higher Education Graduate Employability rankings 2025).
  • A thriving culture of student societies covering tech, game development, women in computer science, robotics and more, with regular hackathons, careers panels, talks, and social activities.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
admissions@kcl.ac.uk